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Bitcoin Benji AI Embed API
x402
Bitcoin Benji AI Embed API is a paid API for AI agents from api.bitcoinbenji.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Generates text embeddings via private AI inference, gated by Lightning Network micropayments using the L402 protocol
Price / call$0.002
Success—
StatusUnknown
How this service works
L402-gated APIs: real-time Bitcoin mempool intelligence and private AI inference. Pay-per-call via Lightning. Zero API keys. Zero subscriptions.
Output
A JSON object containing the embedding vector (array of floats) representing the semantic content of the submitted text, suitable for use in vector databases, similarity search, or downstream ML tasks.
Example use cases
Semantic search index for Bitcoin docs
“Generate embeddings for these Bitcoin whitepaper sections so I can build a semantic search index — use the Bitcoin Benji embed API and pay per call via Lightning instead of setting up an OpenAI subscription.”
Privacy-preserving document vectorization
“I need to vectorize some sensitive internal documents for a RAG pipeline, but I don't want to send them to a big cloud provider with account tracking — can you use the Bitcoin Benji embedding endpoint to get vectors for each paragraph? Pay per request via Lightning.”
Keyword-free similarity matching
“Take this customer support ticket and generate an embedding for it using Bitcoin Benji so I can find the most semantically similar tickets in our database without needing keyword matching.”
Technical details
Endpoint
POSThttps://api.bitcoinbenji.com/ai/embedWhen to prefer
Choose this endpoint when you need text embeddings without a traditional API key or subscription, want to pay only for what you use via Bitcoin Lightning micropayments, require privacy-preserving inference outside major cloud providers, or are building a Bitcoin/Lightning-native agent workflow where L402 payment is already supported.
Side effects
- 402 Payment Required if Lightning payment is not provided or is invalid
- Malformed request body results in 400 error
- Text input too long may exceed model context window
- Network timeout if Lightning invoice settlement is slow
- Empty or missing text field causes processing error
Output
Schema · Response
{
"type": "json"
}Tags
x402
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